Development of Artificial Intelligence Education Program Based on Core Concept of Artificial Intelligence in Middle School

Artificial intelligence education is becoming more important as AI technologies such as AIoT, AIX, etc. are developed. However, there is a lack of research on what to learn as a core concept in artificial intelligence education. Therefore, The purpose of this study is to improve middle school students understanding of artificial intelligence by developing artificial intelligence education programs based on artificial intelligence core concepts. This study was conducted in five phases: analysis, design, development, execution, and evaluation.
 The results obtained from this study are as follows.
 First, the results of selecting the core concepts of artificial intelligence were recognition, abstraction, learning, prediction. The results of artificial intelligence expert tests was a total average of 4.0 points for the Likert 5-point scale. The subconcepts of the core concepts were data collection, pattern, data preprocessing, model, error, accuracy, deep learning, regression, and classification. the result of expert tests was a total average of 4.2 points.
 Second, we construct an eighth-order education program for applying it to middle schools, focusing on the core concept of artificial intelligence. 
 Third, we applied an artificial intelligence education program and checked the student evaluation results for understanding the core concepts of artificial intelligence, and found significant results with a total average of 3.88 points. 
 Fourth, the education program that best reflects the core concept of artificial intelligence was predicting test scores with study time. This education program was the average value of 3.96 points which has the highest reflection of the core concepts of abstraction, learning, and prediction.